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Evaluation of road signs using radiometric and geometric data from terrestrial LiDAR

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Maintenance works are crucial to reduce the risk of accidents. Road signs appear to be one of the most important elements for safety purposes so their inspection is commonly included in the most extended road management systems. The geometric state of the sign is of great importance, especially interesting is its flatness and the inclination relative to the ground. Road signs are printed with reflective paints to maximize the visibility to the drivers. This coating produces a high reflected radiation that is easily recorded by the photoelectric detector of the laser scanner mechanisms. It allows establishing an intensity based filter in order to perform the 3D classification of the road sign. In this work, a number of road signs are evaluated, under a geometric point of view, using the laser scanner Riegl LMS Z390i. A Matlab algorithm is developed for all the data processing (3D classification and evaluation of geometric parameters). Results do not show the evidence of folded or abnormally tilted signs. The developed algorithms open the possibility of using the attribute of intensity of laser scanning data for classification purposes, during the automatic evaluation of the condition state of road signs. Such algorithms could increase the productivity and reliability of the inspection works.
Słowa kluczowe
Czasopismo
Rocznik
Strony
421--433
Opis fizyczny
Bibliogr. 13 poz., rys., tab., wykr.
Twórcy
  • Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, Spain
autor
autor
autor
Bibliografia
  • [1] VERA I., THENOUX G., SOLMINIHAX H.D., ECHAVEGUREN T., Technical assessment model for the performance of flexible pavement maintenance, Revista de la Construcción 9(2), 2010, pp. 76–88.
  • [2] PELLEGRINO C., PIPINATO A., MODENA C., A simplified management procedure for bridge network maintenance, Structure and Infraestructure Engineering 7(5), 2011, pp. 341–351.
  • [3] FINDLEY D.J., CUNNINGHAM C.M., HUMMER J.E., Comparison of mobile and manual collection for roadway components, Transportation Research 19(3), 2011, pp. 521–540.
  • [4] ARMESTO-GONZÁLEZ J., RIVEIRO-RODRIGUEZ B., GONZÁLEZ-AGUILERA D., RIVAS-BREA M.T., Terrestrial laser scanning intensity data applied to damage detection for historical buildings, Journal of Archaeological Science 37(12), 2010, pp. 3027–3047.
  • [5] PFEIFER N., BRIESE C., Laser scanning: principles and applications, 3rd International Exhibition and Scientific Congress on Geodesy, Mapping, Geology, Geophysics, Novosibirsk, Russia, 2007.
  • [6] RUEGER J.M., Electronic Distance Measurements, Springer, Berlin, 1990.
  • [7] WEHR A., LOHR U., Airborne laser scanning – An introduction and overview, ISPRS Journal of Photogrammetry and Remote Sensing 54, 1999, pp. 68–82.
  • [8] GONZÁLEZ-JORGE H., RIVEIRO B., ARMESTO J., ARIAS P., Standard artifact for the geometric verification of terrestrial laser scanning systems, Optics and Laser Technology 43(7), 2011, pp. 1249–1256.
  • [9] TITTERTON D., WESTON J., Strapdown Intertial Navigation Technology, 2nd Ed., Institution of Engineering and Technology, Stevenage, UK.
  • [10] LEVY L.J., The Kalman Filter: navigation’s Integration Workhorse, GPS World, September 1997, pp. 65–71.
  • [11] KAVANAGH M., Gyroscopes for orientation and inertial navigation systems, Kartografia i Geoinformacije 6, 2007, pp. 254–271.
  • [12] HÖFLE B., PFEIFER N., Correction of laser scanning intensity data: Data and model-driven approaches, ISPRS Journal of Photogrammetry and Remote Sensing 62, 2007, pp. 415–433.
  • [13] LILLESAND T.M., Remote Sensing and Image Interpretation, 5th Ed., Wiley, India, 2009, p. 820.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4366eafd-b6ac-4941-b8f8-dce979df4bdf
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